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Industrial Internet (5cr)

Code: 8G00BE44-3002

General information


Enrollment
01.08.2018 - 31.07.2019
Registration for the implementation has ended.
Timing
02.01.2019 - 02.06.2019
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
Contact learning
Teaching languages
Finnish
Degree programmes
Master of Engineering, Technology Competence Management
Teachers
Niko Ristimäki
Petteri Mäkelä
Teacher in charge
Petteri Mäkelä
Course
8G00BE44

Evaluation scale

1-5

Content scheduling

-

Objective

Student knows how the Industrial Internet affects to the business of manufacturing enterprises. Student knows the relevant technologies of Industrial Internet and the system architecture concepts. Student can conceptualize and design end-user services utilizing the Industrial Internet technologies.

Student understands how an industrial enterprise can improve its operations with Digital Manufacturing.

Content

- Basic concepts of Industrial Internet
- Industrial Internet technology stack
- Data modelling and system integration
- Cloud services and IoT platforms
- Application and business scenarios
- Digital Manufacturing

Materials

- Teachers' material.
- Background reading: e.g. Juhanko, Jari (toim.), Jurvansuu, Marko (toim.), Ahlqvist, Toni, Ailisto, Heikki, Alahuhta, Petteri, Collin, Jari, Halen, Marco, Heikkilä, Tapio, Kortelainen, Helena, Mäntylä, Martti, Seppälä, Timo, Sallinen, Mikko, Simons, Magnus ja Tuominen, Anu (5.1.2015). ”Suomalainen teollinen internet – haasteesta mahdollisuudeksi: taustoittava kooste”.
ETLA Raportit No 42. http://pub.etla.fi/ETLA-Raportit-Reports-42.pdf

Teaching methods

Lectures and exercises.

Employer connections

-

International connections

-

Completion alternatives

-

Student workload

Total work load 135 h of which scheduled 32 h.

Assessment criteria, satisfactory (1)

Student knows the basics of the industrial internet. Student knows the technology stack of the industrial internet and knows the technologies associated to each level.

Assessment criteria, good (3)

Student can conceptualize application which utilizes IoT technologies. Student can conceptualize this application so that it improves the business of a company.

Assessment criteria, excellent (5)

Student can conceptualize an IoT system and integrate it to an industrial process.

Qualifications

-

Further information

-

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